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18 Anomaly Detection Overview
19 ======================
21 Anomaly Detection (AD) is an Xapp in the Traffic Steering O-RAN use case,
22 which uses the following Xapps:
24 #. AD, which iterates per second, fetches UE data from .csv files and send prediction to Traffic Steering
25 #. Traffic Steering send acknowldgement back to AD.
30 The AD Xapp expects a prediction-input in following structure::
32 UEPDCPBytesDL UEPDCPBytesUL UEPRBUsageDL UEPRBUsageUL S_RSRP S_RSRQ S_SINR N1_RSRP N1_RSRQ N1_SINR N2_RSRP N2_RSRQ N2_SINR UEID ServingCellID N1 N2 MeasTimestampRF
34 300000 123000 25 10 -43 -3.4 25 -53 -6.4 20 -68 -9.4 17 12345 555011 555010 555012 30:17.8
40 The AD Xapp should send a prediction for Anomulous UEID along with timestamp
41 as a JSON message via RMR with the following structure:
45 "MeasTimestampRF" : "2020-11-17 16:14:25.140140"